DocumentCode :
350703
Title :
Recurrence plot features: an example using ECG
Author :
Mewett, David T. ; Reynolds, Karen J. ; Nazeran, Homer
Author_Institution :
Sch. of Inf. & Eng., Flinders Univ. of South Australia, Bedford Park, SA, Australia
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
175
Abstract :
Electrocardiogram (ECG) signals are analysed using the nonlinear method of recurrence plots, which reveals subtle time correlations in time-domain signals. Large-scale features in the recurrence plots, which consist entirely of single dots, line segments of different orientations and white spaces, are directly related to time-domain features in the original signals. The relationship between recurrence plot features and time-domain features is easy to see for these ECG signals, and can be used to infer time-domain features of other signals (such as other bioelectric signals) that are more difficult to interpret due to their complexity
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; time-domain analysis; ECG; bioelectric signals; electrocardiogram signals; large-scale features; line segments; nonlinear method; recurrence plot features; single dots; time correlations; time-domain signals; white spaces; Australia; Bioelectric phenomena; Electrocardiography; Informatics; Large-scale systems; Physics; Signal analysis; Signal processing; Time domain analysis; White spaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
Type :
conf
DOI :
10.1109/ISSPA.1999.818141
Filename :
818141
Link To Document :
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